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When you’re developing AI applications, you need highly optimized deep learning models that enable an application to run wherever it’s needed and on any kind of device—from the edge to the cloud. But optimizing deep learning models for higher performance on CPUs can be challenging. To help meet these challenges, Intel has optimized deep learning primitives that you can use inside popular frameworks to ensure you’re implementing common building blocks efficiently. Explore them in the issue’s lead article.